Analytical Data Engineer

Forvis Mazars, LLP; Dallas (TX); On-site; USD 110,000 - 165,000; Full time

Job summary

Forvis Mazars, LLP is seeking an Analytical Data Engineer to design and evolve the enterprise data platform. You will build scalable pipelines, models, and reusable data products that transform firm data into reliable foundations for reporting, analytics, and AI.

Within a modern data & AI environment, you will apply data engineering best practices, improve data delivery, and support governance and security controls while collaborating with architects, analysts, and business partners across the

Qualifications

• Three or more years of data engineering experience with modern enterprise data platforms.
• Experience developing scalable data pipelines aligned with Medallion architecture.
• Advanced Python and SQL development skills.
• Knowledge of dimensional modeling and enterprise data modeling principles.

Responsibilities

• Design, build, and evolve scalable data pipelines using the Databricks platform.
• Develop data models and reusable data products for reporting, analytics, and AI.
• Implement data quality, monitoring, reconciliation, and error-handling processes.
• Collaborate with architects, analysts, and AI teams to deliver enterprise data solutions.
• Document pipelines, models, and technical processes.

Skills

Python

SQL

Databricks

Data modeling

Azure/AWS/GCP

GitLab CI/CD

Data governance

AI/ML data pipelines

Education

Bachelor's degree in Computer Science / IT

Tools

Databricks Intelligence Platform

Unity Catalog

GitLab

Job description

US-GA-Atlanta, US-IN-Indianapolis, US-MO-Kansas City, US-MO-Springfield, US-NC-Charlotte, US-NC-Raleigh, US-TX-Dallas

Working time

Full Time

Description & Requirements

At Forvis Mazars, technology is a catalyst for growth, innovation, and transformation. Firm Technology Services (FTS) sits at the intersection of business strategy and digital enablement, partnering across the firm to harness emerging technologies, advance AI-driven solutions, modernize the portfolio, and create new capabilities that accelerate operational success. Our culture is collaborative, engineering-minded, and future-focused, empowering talented professionals to solve complex challenges, challenge conventional thinking, and build solutions that make a measurable impact. This role is more than an opportunity to support a function. It is a chance to help shape the future of the firm, directly contributing to strategic growth initiatives, exceptional client experiences, and the continued evolution of a world-class technology organization.

Data is central to how we make better decisions, deliver greater insights, and create new opportunities for innovation and growth. Our Enterprise Data & Analytics organization is building a modern, scalable data ecosystem designed to transform complex enterprise data into trusted, usable, and high-value information.

We are seeking an Analytical Data Engineer to help design, build, and evolve the enterprise data platform supporting our firm data strategy. This position will develop scalable data pipelines, data models, and reusable data products that transform data from across the firm into reliable foundations for reporting, advanced analytics, and artificial intelligence.

Working within our modern data and AI environment, the Analytical Data Engineer will combine strong data engineering practices with emerging AI capabilities to solve complex data challenges, improve how data is delivered and consumed, and help accelerate the firm's transformation into a more data- and AI-driven organization.

What You Will Do:

• Design, build, and maintain scalable data pipelines using the Databricks Intelligence Platform


• Develop data pipelines in alignment with Medallion architecture and established enterprise data standards and guidelines


• Design and maintain reusable data products that support reporting, advanced analytics, AI, and machine-learning solutions


• Implement data quality, monitoring, reconciliation, and error-handling processes


• Optimize data workloads for performance, scalability, reliability, and cost


• Assist with implementing data governance and security controls using Unity Catalog


• Apply role-based and attribute-based access controls to support secure access to enterprise data


• Develop automated testing and deployment processes using GitLab and CI/CD practices


• Apply dimensional modeling and enterprise data modeling principles when developing data solutions


• Partner with enterprise architects, data architects, business analysts, data analysts, AI teams, and business stakeholders to deliver enterprise data solutions


• Participate in solution design and code reviews


• Troubleshoot data pipeline, data quality, performance, and platform-related issues


• Document data pipelines, models, technical processes, and solution designs

Minimum Qualifications:

• Three or more years of data engineering experience with modern enterprise data platforms, including the Databricks Intelligence Platform.


• Experience developing scalable data pipelines aligned with Medallion architecture


• Advanced Python and SQL development skills


• Knowledge of dimensional modeling and enterprise data modeling principles


• Experience with Unity Catalog, data security, and data quality practices


• Working knowledge of Databricks AI capabilities and data engineering patterns that support AI and machine-learning solutions


• Experience working in Microsoft Azure, Amazon Web Services, or Google Cloud Platform


• Proficiency with GitLab, CI/CD, automated testing, and DevOps practices


• Strong problem-solving and troubleshooting skills


• Strong written and verbal communication skills


• Ability to collaborate effectively with technical teams, business stakeholders, and cross-functional partners

Preferred Qualifications:

• Bachelor's degree in computer science, information technology, data engineering, engineering, or a related field


• Databricks professional certification


• Data engineering experience within Microsoft Azure


• Experience building reusable enterprise data products that support analytics and AI use cases


• Experience implementing Unity Catalog and governed access controls in an enterprise environment


• Experience developing automated data quality, testing, and deployment processes


• Experience optimizing Databricks workloads for performance and cost


• Experience working with enterprise-scale data models and complex data environments

About Forvis Mazars, LLP

Forvis Mazars, LLP is an independent member of Forvis Mazars Global, a leading global professional services network. Ranked among the largest public accounting firms in the United States, our 7,000+ team members deliver assurance, tax, and consulting services to clients in all 50 states and internationally.

With a legacy spanning more than 100 years, we're building something different. We are guided by a shared promise: Together, we create extraordinary experiences. That means delivering an Unmatched Client Experience while creating a workplace where relationships matter, learning fuels growth, and every person feels valued and supported to thrive.

What We Offer

Our robust total rewards program and flexible work environment reflect our commitment to people, careers, and well-being-empowering our team to grow and thrive while delivering exceptional service. To explore what makes working at Forvis Mazars special, visit www.forvismazars.us/careers.

Legal Notice

Forvis Mazars, LLP is an equal opportunity/affirmative action employer in accordance with applicable law. Employment selection and related decisions are made without regard to age, race, color, sex, sexual orientation, national origin, religion, genetic information, disability, protected veteran status, gender identity, or other protected classifications.

It is Forvis Mazars, LLP standard policy not to accept unsolicited referrals or resumes from any source other than directly from candidates.

Forvis Mazars, LLP expressly reserves the right not to accept unsolicited referrals, resumes or CVs from vendors including and without limitation, search firms, staffing agencies, fee-based referral services, and recruiting agencies.

Forvis Mazars, LLP further reserves the right not to pay a fee to a recruiter or recruiting agency unless such recruiter or recruiting agency has a signed vendor agreement with Forvis Mazars, LLP. Any resume(s) or CV(s) submitted to anyone working for Forvis Mazars, LLP, or submitted to a Forvis Mazars, LLP general email, without having a Forvis Mazars, LLP vendor agreement in place, will be considered the property of Forvis Mazars, LLP. Know Your Rights